LLM gateway route-switch captures data to optimize prompts

The route-switch LLM gateway, developed by Skelf-Research, offers a novel approach to prompt improvement by capturing and utilizing invocation data. Unlike traditional gateways that merely route requests and discard prompt data, route-switch stores every interaction in an SQLite database. This captured data is then used to iteratively optimize prompts through a six-step process including generation, Bayesian optimization, and evaluation. The system supports multiple LLM providers like OpenAI, Anthropic, and Google, and is designed for easy integration by mimicking the OpenAI API. AI

IMPACT Enhances LLM prompt engineering efficiency by automating optimization based on real-world usage data.

RANK_REASON The item describes a new software tool for LLM gateways that offers a novel feature (prompt optimization via data capture), rather than a core AI model release or significant industry event.

Read on dev.to — LLM tag →

• Anthropic
• Cohere
• DuckDB
• GPT-3.5 Turbo
• GPT-4
• GPT-4o
• MIPROv2
• Mistral AI
• Ollama
• OpenAI
• route-switch
• Skelf-Research
• SQLite

• product
• infra

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